Keptn - Automated Operations & Continuous Delivery for k8s
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The document discusses Keptn, a tool designed to facilitate autonomous cloud management and streamline the continuous delivery and operations processes for cloud-native applications. It emphasizes features like automated multi-stage delivery, self-healing operations, and integration with existing CI/CD pipelines, targeting the reduction of manual interventions and increasing deployment speed and reliability. The content also highlights the importance of monitoring, automated quality gates, and event-driven methodologies in modern cloud operations.
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Keptn - Automated Operations & Continuous Delivery for k8s
- 1. What is Andreas Grabner, Dynatrace @grabnerandi @keptnProject https://keptn.sh https://github.com/keptn
- 2. Confidential 2 $ keptn new artifact sampleservice:3.0.0 Option 1: keptn CLI Option 2: keptn REST API –> enables integrations from CI, e.g: Jenkins, Bamboo ... HTTP POST https://control.keptn.mydomain.com { "type":"sh.keptn.events.new-artifact", "data":{ "image":"simplenodeservice", "tag":"3.0.0" } }
- 3. Confidential 3 Industry is pushing „Autonomous Cloud Management“
- 4. Confidential 4 MTTI Mean Time to Innovation MTTR Mean Time to Remediate 4.8 days 4 hours ~ 10min 12.5 days 2 days ~ 1 hour The reality and evidence supports the need for ACM! https://dynatrace.ai/acsurvey Only < 5% is „Cloud Native“
- 5. 5Confidential Increase Quality & Level of Automation Increase Speed & Reduce Costs Automated Testing Continuous Performance Auto Quality Gates AUTOMATE OPERATIONS AUTOMATE DEPLOYMENT AUTOMATE MONITORING Feature Flagging Adaptive Scaling Auto Roll-Back Canary Releases Blue / Green Deploymen ts Auto- Remediation AUTOMATE QUALITY Strategically Used as Pipeline Feature Building Blocks for ACM/Cloud Natives!
- 6. Confidential 6 That is why we are building Because cloud native delivery and operations is a BIG challenge for enterprises! Cloud Native
- 7. Confidential 7 Quote: “Pipelines seem to be becoming our new future un-managable legacy code!“ First: solves the Continuous Delivery Problem!
- 8. Second: Continuous Delivery is NOT ENOUGH!
- 9. Continuous Delivery – Launch control Launch operations are supervised and controlled from several control rooms (also known as a firing room). The controllers are in control of pre-launch checks, the booster and spacecraft. Once the rocket has cleared the launch tower (usually within the first 10–15 seconds), is when control is switched over to the Mission Control Center
- 10. Continuous Operations – Mission Control A mission control center (MCC, sometimes called a flight control center or operations center) is a facility that manages space flights, usually from the point of launch until landing or the end of the mission. It is part of the ground segment of spacecraft operations. A staff of flight controllers and other support personnel monitor all aspects of the mission using telemetry, and send commands to the vehicle using ground stations
- 11. Confidential 11 Quote: “We spend more time in manual communicaton than remediating issues“ Second: has Continuous Operations at its Core! ENGAGE TRIAGE FIND & ASSEMBLE RESOLVE RESTORE MANUAL COMMUNICATION MANUAL COMM Before After RESTORERESOLVE NUMBER OF ISSUES BEFORE: mostly manual AFTER: mostly automated
- 12. Mission Control “Automated Operations” = Day 2 Ops Launch Control “Continuous Deployment” = Day 1 Ops keptn accelerates building autonomous clouds Event-driven runbook automation Productionproblemscan beautomaticallyremediatedin real-timebyexecutingrunbooksthatrequirenomanual intervention. Self-healing blue/green deployments Deploymentsthatfollowthe“Operationsas Code” paradigmautomaticallyremediateproblemsandget yourdeploymentpipelineworkingagain inundera minute. Automated multistage unbreakable delivery pipelines GitOps-enableddeliverypipelineswithautomated qualitygates supportautomatedtestingandmonitoring- as-a-service.
- 13. Designed for modern applications GitOps-based collaboration AllkeptnworkflowsarebasedontheGitOps paradigm. Operator patterns for all logic components Logiccomponentscan bereusedforother operationaltasks. Monitoring and operations as code Developer-friendlydefinitionofmonitoringand operationaltasks. Built on and for Kubernetes Builtformoderncloud-nativeenvironments. Event-driven and serverless Powerfulwitha minimal resourcefootprint. Pluggable tooling Alltoolsleveragedbykeptn can bereplacedbased onyourtoolpreferences.
- 14. 14 Keptn Use Cases • Installation • One-Line Installation: on most popular k8s platforms • Zero-Touch Toolchain Integration: No custom tool integrations needed • Re-Think Pipelines: Gone are the days of custom pipeline coding! • Zero-Touch Cloud Native Services: Enables GitOps event-driven CD/CO for your services • Continuous Delivery • Automated Multi-Stage Delivery: Risk-Free auto deployment through multi-stage delivery pipelines • Automated Quality Gates: stops bad changes before production using Pitometer • Self-Healing Blue/Green Deployments: reverts bad changes before impacting end-users • Zero-Touch Toolchain Updates: Add/Remove/Replace tools without custom coding • Mastering Continuous Delivery: Risk-Free Automated Deployments • Continuous Operations • Self-Healing Production: Automated Problem Remediation (Scale-Up, Scale-Down, ...) • Self-Healing/Continuous BizDevOps: Automated Business Operations Optimization, Turn on/off feature flags based on conversion rates ... • Zero-Touch Toolchain Updates: Add/Remove/Replace tools without custom coding • Auto-Protect Production & Business: Stop DDOS attacks, Redirect Bot Traffic ... • Chaos-Driven Operation Readiness: Chaos Engineering to validate your production self-healing
- 15. 15 Config ChatOps IT Autom Deploy Test Observe One-Line Installation: $ keptn install
- 16. 16 Config ChatOps IT Autom Deploy Test Observe Zero-Touch Toolchain Integration: $ keptn wear uniform <GitHub, Slack ...>
- 17. 17 Config ChatOps IT Autom Deploy Test Observe Re-Think Pipelines: $ keptn create project keptn-sample {stage(perf),prod(bg)} S T A G I N G P R O D DirectUpdateC D Blue/GreenUpdateC D
- 18. 18 Config ChatOps IT Autom Deploy Test Observe Zero-Touch Cloud Native Services: $ keptn onboard service myservice [xxx.yaml] S T A G I N G P R O D DirectUpdateC D Blue/GreenUpdateC D PLACEHOLDER PLACEHOLDER
- 19. 19 Config ChatOps IT Autom Deploy Test Observe Automated Multi-Stage Delivery: $ keptn new artifact myservice:1.0.0 S T A G I N G P R O D ScoreDirect PerformanceUpdate Promote?C D T O ScoreBlue/GreenUpdate Keep?C D T O PLACEHOLDER PLACEHOLDER 1.0.0 1 1 90 / 100 1.0.0 1 1 1 75 / 100 P R O M O T E K E E P
- 20. 20 A Quick word on Pitometer: Automated Deployment Validation Metric Source & Query Grading Details & Metric Score Pitometer Specfile Total Scoring Objectives 2GB Allocated Bytes (from Prometheus) > 2GB: 0 Points < 2GB: 20 Points 5% 2% < 2%: 0 Points < 5%: 10 Points > 5%: 20 Points Conversion Rate (Dynatrace) GraderSource If value: 3GB Score: 0 If value: 3.9% Score: 10 Total Score: 10
- 21. 21 Config ChatOps IT Autom Deploy Test Observe Automated Quality Gates: $ keptn new artifact myservice:2.0.0 S T A G I N G P R O D ScoreDirect PerformanceUpdate Promote?C D T O ScoreBlue/GreenUpdate Keep?C D T O 1.0.0 1 1 45 / 100 1.0.0 1 1 1 2.0.0 2 2 A B O R T
- 22. 22 Config ChatOps IT Autom Deploy Test Observe Self-Healing Blue/Green Deployments: $ keptn new artifact myservice:3.0.0 S T A G I N G P R O D ScoreDirect PerformanceUpdate Promote?C D T O ScoreBlue/GreenUpdate Keep?C D T O 1.0.0 1 1 85 / 100 1.0.0 1 1 1 2.0.0 2 2 3.0.0 3 3 3.0.0 3 3 3 80 / 100 P R O M O T E R E V E R T
- 23. 23 Config ChatOps IT Autom Deploy Test Observe Zero-Touch Toolchain Updates: $ keptn update uniform <+neo,+end2end,+spinnaker> S T A G I N G P R O D ScoreDirect PerformanceUpdate Promote?C D T O ScoreBlue/GreenUpdate Keep?C D O 1.0.0 1 1 1.0.0 1 1 1 2.0.0 2 2 3.0.0 3 3 End2EndT
- 24. 24 Config ChatOps IT Autom Deploy Test Observe Mastering Continuous Delivery: $ keptn new artifact myservice:4.0.0 S T A G I N G P R O D ScoreDirect PerformanceUpdate Promote?C D T O ScoreBlue/GreenUpdate Keep?C D O 1.0.0 1 1 1.0.0 1 1 1 2.0.0 2 2 3.0.0 3 3 4 4 4 End2EndT 4.0.0 4.0.0 4 4 95 / 100 90 / 100 K E E P P R O M O T E
- 25. 25 4 4 Config ChatOps IT Autom Deploy Test Observe Self-Healing Production: $ keptn new problem <Services, Root Cause> P R O D Evaluate Decide Act Notify 4 Escalate 4 4
- 26. Confidential 26 MTTI = Mean Time to Innovation MTTR Mean Time to Remediate 4.8 days 4 hours ~ 10min 12.5 days 2 days ~ 1 hour We are building keptn to re-shape this reality GROW this number!
- 27. 27Confidential • https://github.com/keptn/community • @keptnproject • [email protected] • keptn.slack.com • Biweekly communitymeetings • Zoom https://dynatrace.zoom.us/j/578828410 • Notes https://tinyurl.com/keptn-meeting-notes Jointhecommunity
- 28. 28 dynatrace.com
- 29. 29
Editor's Notes
- #5: Numbers based on our survey – https://dynatrace.ai/acsurvey
- #8: Many teams we spoken with build their own Deployment Pipelines: Combination of OpenSource & Commercial Tools for Deployment Automation! Testing Pipelines: Combination of OpenSource & Commerical Tools for Test Execution Quality Gates: Most often done manual. Some are investing in automated validation! Auto Remediation: Mostly done manual with a trend towards simply remediation actions
- #27: Numbers based on our survey – https://dynatrace.ai/acsurvey